*Creating light field content from existing images and videos*
The goal of this project is to create appealing visual content for upcoming
light field displays from existing imagery, particularly from image and
video collections such as historical photos or consumer videos.
Light field displays for the first time offer the viewer more than two
views of an object from different perspectives, and they can thus reproduce
the appearance of real-world objects which previously unachieved fidelity.
This has been demonstrated by first research prototype displays, and
commercial light field displays will become available within the next few
years. However, cameras for capturing light field images or videos are not
yet readily available, which is why this project aims to create light field
content from existing imagery, which is readily available. To achieve this
goal, the project will research and develop image- and video-based
rendering approaches for synthesising visually plausible novel views, as
well as new data-driven inpainting techniques for filling occlusion holes
in a visually consistent manner.
*Requirements*
Candidates should normally have a good first degree (equivalent to a First
Class or 2:1 Honours), or a Master’s degree in computer science, visual
computing or a related discipline. A strong mathematical background and
strong previous programming experience, preferably in C++ and/or Python, is
required. Candidates must have a strong interest in visual computing, and
previous experience in computer vision, computer graphics and image
processing is highly desirable.
We are working to improve the gender balance within the student population
and particularly welcome applications from women.
*Funding notes*
UK and EU students applying for this project may be considered for a
University Research Studentship which will cover Home/EU tuition fees, a
training support fee of £1000 per annum and a tax-free maintenance
allowance of £14,553 (2017/18 rate) for 3.5 years.
Note: ONLY UK and EU applicants are eligible for the studentship;
unfortunately, applicants who are classed as Overseas for fee paying
purposes are NOT eligible for funding.
We welcome all-year round applications from self-funded candidates and
candidates who can source their own funding.
*Additional information*
Anticipated start date: 2 October 2017.
Informal enquires are welcomed and should be directed to Dr Christian
Richardt (c.richardt at bath.ac.uk). Formal applications should be submitted
via the University of Bath’s website: http://www.bath.ac.uk/science/
graduate-school/research-programmes/how-to-apply/.
For more general information on studying for a PhD in computer science at
Bath, see:
http://www.bath.ac.uk/science/graduate-school/research-programmes/phd
-computer-science/.
*Application*
The application deadline for this position is Tuesday, 2 May 2017.
Applications can be submitted via FindAPhD:
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=80681.
Applications may close earlier than the advertised deadline if a suitable
candidate is found; therefore, early application is recommended.
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